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The evaluation focused on two aspects: 1) the statistical diagnostic test values of the classifiers, and 2) the power of the subgroup tests.
For subgroup analyses by tumor localization (colon vs. rectum) and MMR status (proficient vs. deficient), we only regarded as noteworthy those findings that showed a test of heterogeneity with P < 0.05, and subgroup tests for trend <0.002.
Notably, ASD (1,1) is the least restrictive classifier and has sensitivity equal to 0.953, the highest value, although specificity is only 0.083 in scenario F. Empirical power of the overall and subgroup tests from five classifiers is summarized in Table 2.
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When the Experimental SubGroup tested with the Experimental Melody was contrasted with the Experimental SubGroup tested with the Control Melody the F- statistics were: Time, F (149, 2235) = 8.76, p.<.00001, η2p = .37, and SubGroup x Time interaction, F (149, 2235) = 2.48, p.<.00001, η2p = .14.14
No leukocyte subgroup tested transcribed onfFN mRNA.
In contrast, none of the isoforms of the NIPI subgroup tested here mediated As III) transport.
Again, these problems were fairly equally distributed across Latino subgroup tested.
Intertester reliability also differs depending on subgroup, test, and training level (Table 4).
The levels of significance were 2%% (one-sided) for the overall test and 3%% for the subgroup test [ 8].
Whereas each leukocyte subgroup tested positive for transcripts of Tg, TSH-R, and PBGD, divergent expression profiles of hTERT, CK 19, and onfFN were observed in CD subgroups.
In a predefined trial with subgroup testing the trial should be powered such that the expected effect, if present, should be detected in the smallest subgroup.
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CEO of Professional Science Editing for Scientists @ prosciediting.com